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887 items in total found

Journal Articles | 2018

Efficient mining of high utility itemsets with multiple minimum utility thresholds

Srikumar Krishnamoorthy

Engineering Applications of Artificial Intelligence

Mining high utility itemsets is considered to be one of the important and challenging problems in the data mining literature. The problem offers greater flexibility to a decision maker in using item utilities such as profits and margins to mine interesting and actionable patterns from databases. Most of the current works in the literature, however, apply a single minimum utility threshold value and fail to consider disparities in item characteristics. This paper proposes an efficient method (MHUI) to mine high utility itemsets with multiple minimum utility threshold values. The presented method generates high utility itemsets in a single phase without an expensive intermediate candidate generation process. It introduces the concept of suffix minimum utility and presents generalized pruning strategies for efficiently mining high utility itemsets. The performance of the algorithm is evaluated against the state-of-the-art methods (HUI-MMU-TE and HIMU-EUCP) on eight benchmark datasets. The experimental results show that the proposed method delivers two to three orders of magnitude execution time improvement over the HUI-MMU-TE method. In addition, MHUI delivers one to two orders of magnitude execution time improvement over the HIMU-EUCP method, especially on moderately long and dense benchmark datasets. The memory requirements of the proposed algorithm was also found to be significantly lower.

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Journal Articles | 2018

Informed trading around earnings announcements Spot, futures, or options?

Sobhesh Kumar Agarwalla, Jayanth R. Varma, and Ajay Pandey

Journal of Futures Markets

Recent literature reports higher single stock options (SSO) volume before earnings announcements (EA). There are no studies that explore single stock futures (SSF) in this context because of illiquid SSF markets in developed countries. Similar to SSO, SSF provide embedded leverage and facilitate short selling although at a lower cost, but do not provide downside-risk protection. India’s liquid SSO and SSF provide a unique setting to study the preference of informed traders. We observe an increase in both SSO and SSF volume before EA. Further, SSF dominate SSO possibly due to SSO becoming expensive before EA and higher information leakage in India.

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Journal Articles | 2018

Qasab: Kutch Craftswomen's Producer Co. Ltd.

Shweta Mittal, Vishal Gupta, and Manoj Motiani

Asian Case Research Journal

This case was prepared by Assistant Professor Shweta Mittal of Institute of Management & Research, Ghaziabad, India, Associate Professor Vishal Gupta of Indian Institute of Management Ahmedabad, India and Assistant Professor Manoj Motiani of Indian Institute of Management Indore, India, as a basis for classroom discussion rather than to illustrate either effective or ineffective handling of an administrative or business situation.

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Journal Articles | 2018

Proactive vs. reactive order-fulfillment resource allocation for sea-based logistics

Seyed Shahab Mofidi, Jennifer A. Pazour, and Debjit Roy

Transportation Research Part E: Logistics and Transportation Review

We study proactive and reactive sea-based order-fulfillment decisions for a set of SKUs. In such systems, a proactive strategy may be more costly than a reactive strategy and variable marginal costs change with respect to an activity profile. We derive the optimal sets of SKUs and their quantities to handle prior (proactive strategy) or after (reactive strategy) demand materializes. Counterintuitive results show the proactive set may not necessarily include the high-demanded SKUs. This work extends the newsvendor model by analyzing negative marginal shortage costs. The model is illustrated with historical data from a sea-based logistics military application.

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Journal Articles | 2018

How can mindfulness enhance moral reasoning? An examination using business school students

Ashish Pandey, Rajesh Chandwani, and Ajinkya Navare

Business Ethics: A European Review

Given the comprehensive influence of mindfulness on human thought and behavior, and the importance of moral reasoning in business decisions, we examine the role of mindfulness as an antecedent to moral reasoning through two studies. In Study 1, we propose and test a theoretically derived model that links mindfulness and moral reasoning, mediated by compassion and egocentric bias using a survey design. In Study 2, we examine whether mindfulness training enhances moral reasoning using an experimental design with graduate students of business management. The findings of Study 1 substantiate the positive association of mindfulness with moral reasoning. We found that this relationship is fully mediated by compassion and egocentric bias. The results of Study 2 suggest that mindfulness meditation training has a positive impact on individuals' states of mindfulness, compassion, and moral reasoning, and decreases egocentric bias. We relate the findings of the study with contemporary neurological research and discuss the theoretical, pedagogical, and managerial implications.

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Journal Articles | 2018

Racial/ethnic parity in disciplinary consequences using student threat assessment

Dewey Cornell, Jennifer Maeng, Francis Huang, Kathan Shukla, and Timothy Konold

School Psychology Review

School psychologists are frequently called upon to assess students who have made verbal or behavioral threats of violence against others, a practice commonly known as threat assessment. One critical issue is whether the outcomes of a threat assessment generate the kind of racial disparities widely observed in school disciplinary practices. In 2013, Virginia became the first state to mandate threat assessment teams in all public schools. This study examined the disciplinary consequences for 1,836 students who received a threat assessment in 779 Virginia elementary, middle, and high schools during the 2014–2015 school year. Multilevel logistic regression models found no disparities among Black, Hispanic, and White students in out-of-school suspensions, school transfers, or legal actions. The most consistent predictors of disciplinary consequences were the student's possession of a weapon and the team classification of the threat as serious. We discuss possible explanations for the absence of racial/ethnic disparities in threat assessment outcomes and cautiously suggest that the threat assessment process may reflect a generalizable pathway for achieving parity in school discipline.

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Journal Articles | 2018

Workplace bullying across the globe: A cross-cultural comparison

Denise Salin, Renee Cowan, Oluwakemi Adewumi, Eleni Apospori, Jaime Bochantin, and Premilla D'Cruz

Personnel Review

Purpose

The purpose of this paper is to analyze cross-national and cross-cultural similarities and differences in perceptions and conceptualizations of workplace bullying among human resource professionals (HRPs). Particular emphasis was given to what kind of behaviors are considered as bullying in different countries and what criteria interviewees use to decide whether a particular behavior is bullying or not.

Design/methodology/approach

HRPs in 13 different countries/regions (n=199), spanning all continents and all GLOBE cultural clusters (House et al., 2004), were interviewed and a qualitative content analysis was carried out.

Findings

Whereas interviewees across the different countries largely saw personal harassment and physical intimidation as bullying, work-related negative acts and social exclusion were construed very differently in the different countries. Repetition, negative effects on the target, intention to harm, and lack of a business case were decision criteria typically used by interviewees across the globe – other criteria varied by country.

Practical implications

The results help HRPs working in multinational organizations understand different perceptions of negative acts.

Originality/value

The findings point to the importance of cultural factors, such as power distance and performance orientation, and other contextual factors, such as economy and legislation for understanding varying conceptualizations of bullying.

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Journal Articles | 2018

Prevention of and interventions in workplace bullying: A global study of human resource professionals' reflections on preferred action

Denise Salin, Renee Cowan, Oluwakemi Adewumi, Eleni Apospori, Jaime Bochantin, and Premilla D'Cruz

The International Journal of Human Resource Management

The aim of this study was to analyze Human Resource Professionals’ reflections on the prevention of and intervention in workplace bullying across different countries. More specifically, the study sought to identify what actions were, in the experience of human resource professionals, best to prevent and intervene in bullying and uncover organizations’ motives for engaging in such work. The study was conducted through semi-structured interviews (n = 214) in 14 different countries/regions, representing all continents and all GLOBE cultural clusters. Qualitative content analysis was performed to analyze the material. The findings indicate that bullying was largely conceptualized as a productivity and cost issue, and that was largely driving efforts to counter bullying. Training and policies were highlighted as preferred means to prevent bullying across countries. In contrast, there were large national differences in terms of preferences for either disciplinary or reconciliatory approaches to intervene in bullying. This study advances our understanding of what human resource professionals consider preferred ways of managing workplace bullying, and adds to our understanding of cross-national differences and similarities in views of this phenomenon. As such, the results are of relevance to both practitioners and scholars.

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Journal Articles | 2018

An extensive evaluation of CONWIP-card controlled and scheduled start time based production system designs

Debjit Roy and Vasudha Ravikumaran

Journal of Manufacturing Systems

Order release policies such as a card-controlled CONWIP policy aim to improve system responsiveness and minimize system-wide inventory levels. It is not clear if order release policies (without card control) can be equally effective under certain settings of the production system design parameters. In this research, we study the performance of alternate order release (material control policies) such as CONWIP and scheduled start time policy under a variety of design parameter settings such as number of stations, station service time characteristics, availability of raw material, and the location of the bottleneck station using queuing network models. Using an exhaustive numerical study, we observe that throughput times in CONWIP systems are about 2–50% less compared to open control systems; however, for a balanced system, the Deterministic scheduled start time policy performs equally well for a large set of production system designs. We further identify that the number of stations and the location of the bottleneck station affect the choice of the order release policy. Additionally, we also analyze the system for a variety of demand inter-arrival times and check its effect on the expected number of backlogs and system-wide expected waiting times.

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Journal Articles | 2018

Stochastic modeling of unloading and loading operations at a container terminal using automated lifting vehicles

Debjit Roy and Rene De Koster

European Journal of Operational Research

With the growing worldwide trade, container terminals have grown in number and size. To increase operational efficiency, many new terminals are now automated. The key focus is on improving seaside processes, where a distinction can be made between single quay crane operations (all quay cranes are either loading or unloading containers) and overlapping quay crane operations (some quay cranes are loading while others are unloading containers). Using a network of open and semi-open queues, we develop a new integrated stochastic model for analyzing the performance of overlapping loading and unloading operations that capture the complex stochastic interactions among quayside, vehicle, and stackside processes. The analytical model is solved using an iterative algorithm based on the parametric decomposition approximation approach. The system performance is tested at varying container traffic levels. We find that the percent absolute errors in throughput times compared to simulation are less than 10% for all cases. Using these integrated models, we are able to generate design insights and also rapidly analyze what-if scenarios. For example, we show that the best yard layout configurations for single (either loading or unloading) operations and the best for overlapping (both loading and unloading) operations largely overlap. The best configurations have relatively few stack blocks and many rows per block. The model is generic and amenable to obtain other design and operational performance insights.

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IIMA